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ORCIDAlexandra Klymenko
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2020 – today
- 2024
[c12]Alexandra Klymenko, Stephen Meisenbacher, Ali Asaf Polat, Florian Matthes:
Breaking Down Privacy by Design: A Threefold Perspective. AMCIS 2024- [c11]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. AMCIS 2024 - [c10]Stephen Joseph Meisenbacher
, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes:
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off. LREC/COLING 2024: 174-185 - [c9]Alexandra Klymenko, Stephen Meisenbacher, Iva Lilova, Florian Matthes:
Investigating the Motivational Factors Influencing Managerial Decisions to Adopt Privacy-Enhancing Technologies. ECIS 2024 - [c8]Alexandra Klymenko, Stephen Meisenbacher, Luca Favaro, Florian Matthes:
On the Integration of Privacy-Enhancing Technologies in the Process of Software Engineering. ICEIS (2) 2024: 41-52 - [i6]Stephen Meisenbacher, Nihildev Nandakumar, Alexandra Klymenko, Florian Matthes:
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking The Privacy-Utility Trade-off. CoRR abs/2404.03324 (2024) - [i5]Juraj Vladika, Stephen Meisenbacher, Martina Preis, Alexandra Klymenko, Florian Matthes:
Towards A Structured Overview of Use Cases for Natural Language Processing in the Legal Domain: A German Perspective. CoRR abs/2404.18759 (2024) - [i4]Stephen Meisenbacher, Alexandra Klymenko, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes:
Privacy Risks of General-Purpose AI Systems: A Foundation for Investigating Practitioner Perspectives. CoRR abs/2407.02027 (2024) - 2023
- [c7]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. AMCIS 2023 - [c6]Alexandra Klymenko, Stephen Meisenbacher, Florian Messmer, Florian Matthes:
Privacy-Enhancing Technologies in the Process of Data Privacy Compliance: An Educational Perspective. CIISR@Wirtschaftsinformatik 2023: 62-69 - [c5]Alexandra Klymenko, Stephen Meisenbacher, Florian Matthes:
The Structure of Data Privacy Compliance. CIISR@Wirtschaftsinformatik 2023: 85-91 - [i3]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Identifying Practical Challenges in the Implementation of Technical Measures for Data Privacy Compliance. CoRR abs/2306.15497 (2023) - 2022
- [c4]Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes:
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. ESEM 2022: 261-271 - [i2]Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Differential Privacy in Natural Language Processing: The Story So Far. CoRR abs/2208.08140 (2022) - [i1]Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes:
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. CoRR abs/2208.08671 (2022) - 2021
- [c3]Daniel Braun, Oleksandra Klymenko, Tim Schopf, Yusuf Kaan Akan, Florian Matthes:
The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering. MSIE 2021: 8-12 - 2020
- [c2]Oleksandra Klymenko, Daniel Braun, Florian Matthes:
Automatic Text Summarization: A State-of-the-Art Review. ICEIS (1) 2020: 648-655
2010 – 2019
- 2018
- [c1]Klym Shumaiev, Manoj Bhat, Oleksandra Klymenko, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes:
Uncertainty expressions in software architecture group decision making: explorative study. ECSA (Companion) 2018: 42:1-42:8
Coauthor Index
aka: Stephen Joseph Meisenbacher
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